• DocumentCode
    281322
  • Title

    Multisignal spectral estimation using an iterative relative entropy method

  • Author

    Alsaka, Y.A. ; Tzannes, N.S. ; Gregory, D.M.

  • Author_Institution
    Dept. of Electr. Eng. & Commun. Sci., Univ. of Central Florida, Orlando, FL, USA
  • fYear
    1988
  • fDate
    11-13 Apr 1988
  • Firstpage
    45
  • Lastpage
    49
  • Abstract
    A generalization of a method of spectral estimation by M.A. Tzaness, Ch. Moussas, and N.S. Tzannes (1984) is presented. The algorithm extends the method to the multiple signals case while still using an iterative procedure of the relative entropy method for estimating the spectral densities of the multisignal input data. Several current methods of relative entropy spectral estimation which involve solving N nonlinear equations simultaneously are also presented. The performance of the presented algorithm is compared to the maximum-entropy and other relative entropy methods, in terms of precision and computational efficiency. Classical examples are repeated and compared between the different methods
  • Keywords
    iterative methods; signal processing; spectral analysis; iterative relative entropy method; maximum entropy; multiple signals case; multisignal spectral estimation; Autocorrelation; Entropy; Filters; Gaussian noise; Iterative algorithms; Iterative methods; Lagrangian functions; Nonlinear equations; Signal processing; Time series analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Southeastcon '88., IEEE Conference Proceedings
  • Conference_Location
    Knoxville, TN
  • Type

    conf

  • DOI
    10.1109/SECON.1988.194813
  • Filename
    194813